Quantum Image Processing

Abstract

The basics of quantum computing will be discussed. The introduction to different types of computing environments will be done. The concept of qubits will be introduced and compared with bits. The concepts of superposition and quantum entanglement will be discussed. The application of Shor’s and Grover’s algorithm will be discussed briefly and how these algorithms contribute for the enormous power of quantum computing will be elaborated. The brief description of quantum gates will be introduced. Algorithms like Quantum Hadamard Edge Detection can identify outlines and features significantly faster than classical methods will be explained. Topics on protection of visual data through quantum encryption and quantum key distribution will be explained. The pattern recognition using hybrid quantum machine learning models for image classification and segmentation will be elaborated.